2018
DOI: 10.1088/1361-6501/aad9e4
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A low cost all-digital demodulation method for fiber-optic interferometric sensors

Abstract: Presented in this paper is a novel digital demodulation method for fiber-optic interferometric sensors. The method controls the modulation depth at π/2 radians and uses only five key points sampling values every modulation period. Both an automatic accurate sampling method and a modulation depth control method are introduced. Fewer resources are needed for the calculation processes to obtain the phase shift. High speed A/D converter is not necessary, which results in significant reduction of the manufacturing … Show more

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Cited by 1 publication
(2 citation statements)
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“…In terms of hardware circuits and control algorithms, the current research focuses on the realization of a more stable and concise control algorithm to reduce the computational power requirements of the processor. Therefore, it becomes possible to use a simpler hardware configuration to achieve high-precision control of a gyro, thereby reducing the control circuit footprint and cost [ 10 , 11 , 12 ].…”
Section: Introductionmentioning
confidence: 99%
See 1 more Smart Citation
“…In terms of hardware circuits and control algorithms, the current research focuses on the realization of a more stable and concise control algorithm to reduce the computational power requirements of the processor. Therefore, it becomes possible to use a simpler hardware configuration to achieve high-precision control of a gyro, thereby reducing the control circuit footprint and cost [ 10 , 11 , 12 ].…”
Section: Introductionmentioning
confidence: 99%
“…The conventional open-loop gyroscope algorithm demodulates synchronously the amplitudes of the first, second, and fourth harmonic components of its temporal interference waveform, which requires complex multiple synchronous phase-locked solutions and a powerful convolution processor with a high cost and large footprint [ 13 ]. In order to overcome this problem, some researchers have produced a solution of characteristic points in the modulation period [ 12 ], which can simplify the algorithm. However, this method suffers from a low signal-to-noise ratio.…”
Section: Introductionmentioning
confidence: 99%